Triple

T10189622
Position Surface form Disambiguated ID Type / Status
Subject John Foxe the Younger E237997 entity
Predicate givenName P17 FINISHED
Object John
John is the given name of John Foxe the Younger, an English clergyman and son of the martyrologist John Foxe.
E847902 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: John | Statement: [John Foxe the Younger, givenName, John]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John
Context triple: [John Foxe the Younger, givenName, John]
  • A. John
    John is the nickname of John Riggins, a former American football running back best known for his Hall of Fame career with the Washington Redskins in the NFL.
  • B. John
    John is the given name of John Adams, the prominent American minimalist and post-minimalist composer known for works like "Nixon in China" and "Short Ride in a Fast Machine."
  • C. John
    John is the given name of John Boyd-Carpenter, a prominent British Conservative politician who served in several senior government positions in the mid-20th century.
  • D. John
    John is the first name of John Dashwood, a character in Jane Austen's novel "Sense and Sensibility."
  • E. John
    John is the first name of the fictional character John Connor, the prophesied leader of the human resistance in the Terminator franchise.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: John
Triple: [John Foxe the Younger, givenName, John]
Generated description
John is the given name of John Foxe the Younger, an English clergyman and son of the martyrologist John Foxe.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: John
Target entity description: John is the given name of John Foxe the Younger, an English clergyman and son of the martyrologist John Foxe.
  • A. John
    John is the given name of John Stott, a prominent 20th-century English Anglican priest, theologian, and influential evangelical leader.
  • B. John
    John is the given name of Sir John Byron, an English nobleman and Royalist commander during the English Civil War.
  • C. John
    John is the given name of John Rennie the Younger, a prominent 19th-century British civil engineer known for designing notable bridges and docks.
  • D. John
    John is the given name of John Dee, the 16th-century English mathematician, astronomer, and advisor to Queen Elizabeth I known for his work in alchemy and the occult.
  • E. John
    John is the given first name of the 19th-century English theologian and social reformer Frederick Denison Maurice.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ca84de1b208190bf17bb305b002605 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cded7d6fdc81908052866495b6574f completed April 2, 2026, 4:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69d32a950bc081909699d6bb31935cbd completed April 6, 2026, 3:37 a.m.
NEDg Description generation batch_69d32b53c600819080d476d292355f1c completed April 6, 2026, 3:41 a.m.
NED2 Entity disambiguation (via description) batch_69d32bb24ddc8190917fb78a263e671f completed April 6, 2026, 3:42 a.m.
Created at: March 30, 2026, 9:12 p.m.